| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "He glanced around [around]" |
| | dialogueSentences | 18 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0.1 | | effectiveRatio | 0.1 | |
| 83.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1238 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "quickly" | | 1 | "very" | | 2 | "suddenly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 35.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1238 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "practiced ease" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | |
| | highlights | | 0 | "glistening" | | 1 | "familiar" | | 2 | "rhythmic" | | 3 | "footsteps" | | 4 | "practiced ease" | | 5 | "scanning" | | 6 | "determined" | | 7 | "standard" | | 8 | "otherworldly" | | 9 | "clandestine" | | 10 | "pulsed" | | 11 | "scanned" | | 12 | "intricate" | | 13 | "stomach" | | 14 | "firmly" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 76 | | matches | (empty) | |
| 67.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | | 0 | "happened to" | | 1 | "appeared to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1231 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1097 | | uniqueNames | 16 | | maxNameDensity | 1.55 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Harlow | 1 | | Quinn | 17 | | Silas | 9 | | Raven | 1 | | Nest | 1 | | Morris | 7 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Camden | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 6 | | Herria | 1 | | Herrua | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Silas" | | 3 | "Raven" | | 4 | "Morris" | | 5 | "Market" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Herrera" | | 9 | "Herria" | | 10 | "Herrua" |
| | places | | | globalScore | 0.725 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 1 | | matches | | 0 | "as if expecting something other than a determined detective" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.812 | | wordCount | 1231 | | matches | | 0 | "not the expected storage area but a set of stairs descending into darkness" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 83 | | matches | | |
| 70.95% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 47.35 | | std | 18.86 | | cv | 0.398 | | sampleLengths | | 0 | 64 | | 1 | 64 | | 2 | 81 | | 3 | 48 | | 4 | 61 | | 5 | 73 | | 6 | 59 | | 7 | 47 | | 8 | 59 | | 9 | 58 | | 10 | 40 | | 11 | 54 | | 12 | 36 | | 13 | 13 | | 14 | 31 | | 15 | 23 | | 16 | 41 | | 17 | 53 | | 18 | 14 | | 19 | 42 | | 20 | 14 | | 21 | 31 | | 22 | 33 | | 23 | 47 | | 24 | 72 | | 25 | 73 |
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| 91.41% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 76 | | matches | | 0 | "was traded" | | 1 | "being allowed" | | 2 | "been killed" |
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| 17.85% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 183 | | matches | | 0 | "was heading" | | 1 | "was examining" | | 2 | "were making" | | 3 | "were hunting" | | 4 | "was willing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 83 | | ratio | 0.084 | | matches | | 0 | "She recognized him from the surveillance photos—Silas, the owner of The Raven's Nest, the bar with its distinctive green neon sign that Quinn had been watching for weeks." | | 1 | "The air changed quality here—less city rain, more ancient stone." | | 2 | "The market bustled with activity despite—or perhaps because of—its clandestine nature." | | 3 | "Quinn's hand instinctively went to her pockets—nothing." | | 4 | "She needed to make a decision—turn back and call for backup, or find another way in." | | 5 | "She recognized him from the file—the paramedic who'd lost his license after treating supernatural patients." | | 6 | "They were hunting someone—or something." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1108 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 30 | | adverbRatio | 0.02707581227436823 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.010830324909747292 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 14.83 | | std | 7.1 | | cv | 0.479 | | sampleLengths | | 0 | 17 | | 1 | 18 | | 2 | 29 | | 3 | 25 | | 4 | 18 | | 5 | 21 | | 6 | 28 | | 7 | 16 | | 8 | 37 | | 9 | 12 | | 10 | 12 | | 11 | 24 | | 12 | 15 | | 13 | 10 | | 14 | 15 | | 15 | 21 | | 16 | 19 | | 17 | 16 | | 18 | 18 | | 19 | 13 | | 20 | 7 | | 21 | 13 | | 22 | 12 | | 23 | 11 | | 24 | 23 | | 25 | 15 | | 26 | 12 | | 27 | 7 | | 28 | 13 | | 29 | 13 | | 30 | 1 | | 31 | 30 | | 32 | 15 | | 33 | 18 | | 34 | 5 | | 35 | 15 | | 36 | 9 | | 37 | 11 | | 38 | 20 | | 39 | 4 | | 40 | 16 | | 41 | 22 | | 42 | 9 | | 43 | 2 | | 44 | 15 | | 45 | 6 | | 46 | 10 | | 47 | 11 | | 48 | 7 | | 49 | 8 |
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| 64.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.42168674698795183 | | totalSentences | 83 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 74 | | matches | | 0 | "Her salt-and-pepper hair clung to" | | 1 | "Her own military precision kept" | | 2 | "She noted how he occasionally" | | 3 | "She recognized him from the" | | 4 | "She'd come prepared for a" | | 5 | "She scanned the crowd for" | | 6 | "He was heading toward the" | | 7 | "She needed to make a" | | 8 | "Her gaze fell on a" | | 9 | "His Saint Christopher medallion glinted" | | 10 | "She recognized him from the" | | 11 | "He might have what she" | | 12 | "he said, not sounding surprised" | | 13 | "He glanced around before continuing" | | 14 | "He looked at her, his" | | 15 | "He handed her a small," | | 16 | "They were hunting someone—or something." | | 17 | "She had come for answers" |
| | ratio | 0.243 | |
| 14.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 74 | | matches | | 0 | "The rain fell in relentless" | | 1 | "Detective Harlow Quinn pulled her" | | 2 | "Her salt-and-pepper hair clung to" | | 3 | "The man ahead moved with" | | 4 | "Her own military precision kept" | | 5 | "She noted how he occasionally" | | 6 | "She recognized him from the" | | 7 | "The walls covered with old" | | 8 | "The hidden back room had" | | 9 | "Silas ducked into an alleyway" | | 10 | "Quinn followed, drawing her service" | | 11 | "The alley opened into a" | | 12 | "The air changed quality here—less" | | 13 | "Quinn hesitated at the threshold," | | 14 | "This was the supernatural element" | | 15 | "The stairs descended into what" | | 16 | "Vendors had set up stalls" | | 17 | "This was The Veil Market," | | 18 | "The market moved locations every" | | 19 | "Tonight it happened to be" |
| | ratio | 0.892 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 4 | | matches | | 0 | "The man ahead moved with an unnerving fluidity, darting through crowds with a practiced ease that belied the desperation Quinn heard in his ragged breaths." | | 1 | "She noted how he occasionally glanced back, his eyes scanning the darkness as if expecting something other than a determined detective." | | 2 | "The hidden back room had become the focus of her investigation into a series of disappearances that had supernatural origins she couldn't yet explain, much like…" | | 3 | "With a final glance at Herrera, who gave her a small, almost imperceptible nod of encouragement, Quinn turned toward the curtain and slipped through the beads, …" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, not sounding surprised" | | 1 | "He looked, his expression serious" | | 2 | "Quinn said, her voice leaving no room for argument" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0 | | effectiveRatio | 0 | |